Besides TREC CAsT and OR-QUAC, there are many other datasets and resources related to conversational search.
The first group of related resources are the open-domain QA benchmarks, which consist of single round questions, answer labels, and open retrieval labels.
These benchmarks include the open-retrieval version of SQuAD [1]}, [2]}, TriviaQA [3]}, and Natural Questions [4]}.
The second group of related resources are the ad hoc search benchmarks that include single-round queries and relevance documents or passages.
The most notable one is MS MARCO [5]}, which is one of the largest search relevance benchmark.
Both open-domain QA and ad hoc search datasets are frequently used as additional (weak) supervision data in conversational search.
Recently, the QReCC dataset [6]} is released as yet another conversational search benchmark. It extends CAsT and QuAC with additional conversations constructed from Natural Questions and additional passages sampled from Common Crawl.
